This post is my submission for DEV Education Track: Build Apps with Google AI Studio.

What I Built

I built DevAvatar Creator, a web app that allows developers to generate their own unique cartoon-style avatar. Users can select their hair color, favorite programming language, and describe their personality to create a fully customized avatar they can use on GitHub, DEV, or any other community profile.

I used the "Build apps with Gemini" feature in Google AI Studio and integrated the Imagen API for generating the cartoon-style avatar images.

Prompt I used in Google AI Studio:

Create a web app called "DevAvatar Creator" that helps software developers generate a unique cartoon-style avatar for their online profiles.

The app should have a clean, modern UI with the following input options:

- Hair color (e.g., black, blonde, purple, etc.)
- Favorite programming language (choose from JavaScript, Python, Java, C++, or "Other")
- A short personality trait description (e.g., "creative and detail-oriented", "fun-loving hacker", "calm and minimalist")

When the user submits these inputs, use the Imagen API to generate a high-quality cartoon-style avatar image that reflects their chosen hair color and personality traits. Optionally include small, fun visual hints about their favorite programming language (for example, subtle logos or color palettes).

The app should display the generated avatar prominently and offer options to download it or copy a shareable link.

Add friendly, supportive text in the UI that encourages users to share their avatar on their GitHub or DEV profile. Include clear instructions and make the experience feel fun and welcoming.

Deploy the app and provide a link so users can try it live.

Demo

🔗 Try the DevAvatar Creator live here!

My Experience

This was an incredibly fun and educational project!

I learned how to transform a simple text prompt into a fully functional, deployed web app in minutes using Google AI Studio and Gemini. The Imagen API was especially impressive, as it brought personality traits and developer vibes to life visually.

I was surprised by how intuitive the process was — seeing an idea go from concept to working app so quickly felt almost magical.

This track really helped me understand the power of prompt engineering and rapid prototyping with AI tools. I feel much more confident about integrating generative AI features into future side projects and products.

Thank you to the DEV community and Google AI team for this fantastic learning opportunity! 💙🚀